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Record W2769615216 · doi:10.1163/18763332-04103003

Istanbul as a Space of Cultural Affinity for Syrian Refugees

2017· article· en· W2769615216 on OpenAlexaboutno aff
Ayhan Kaya

Bibliographic record

VenueSoutheastern Europe · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicTurkey's Politics and Society
Canadian institutionsnot available
Fundersnot available
KeywordsRefugeeSyrian refugeesQuarter (Canadian coin)PremiseEveryday lifeAgency (philosophy)XenophobiaSociologyPolitical scienceGender studiesGeographyPoliticsSocial scienceLaw

Abstract

fetched live from OpenAlex

The research question to be answered in this paper is to what extent Istanbul provides Syrian refugees with a feeling of security and safety despite the practical difficulties of everyday life such as working conditions, exclusion, xenophobia and exploitation. The main premise of the paper is that historical, cultural and religious forms of affinity are likely to particularly attach the Sunni Muslim Arab Syrians originating from Aleppo province to Istanbul. This paper is expected to contribute to the discipline of refugee studies by shedding light on the historical elements and agency that are often neglected in such analyses. Based on the findings of a qualitative and quantitative study conducted by the Support to Life Association among Syrian refugees in Istanbul in the last quarter of 2015 and the first quarter of 2016, this article aims to delineate the strong attachment of the Syrian refugees to the city of Istanbul.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0100.008
Scholarly communication0.0050.002
Open science0.0010.005
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.043
GPT teacher head0.366
Teacher spread0.324 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations28
Published2017
Admission routes1
Has abstractyes

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